Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...

ABSTRACT: In previous research works on one hand, terrain, meteorological and wind speed data from various Burundian sites have been processed in order to bring efficient tools for the planning and ...

Abstract: The detection and rejection of individual spoofed Global Navigation Satellite System (GNSS) measurements is of great interest given the rise in GNSS interference observed around the globe.

Abstract: The planning of reliability demonstration tests is a typical task for reliability engineers. To find the optimum test plan, many different scenarios must be considered and compared.

Neurointervention has seen significant advancements in recent decades with the adoption of myriad new technologies and techniques. Initially reliant on case reports and small case series, we now ...

Kennedy-Shaffer is a biostatistics educator and researcher at the Yale School of Public Health. There’s a thought exercise I like to do with my statistics students. Imagine a doctor who throws away ...

A fast python tool providing statistical tests and effect sizes for a more comprehensive and informative analysis of mixed type data in the presence of missingness. Written both in C++ and numba and ...